Datasets:

cambridge-climb
/

BabyLM

Languages:

English

Size Categories:

10M<n<100M

Tags:

language modeling

cognitive modeling

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BabyLM / clean_data.py

Zeb

Clean data again

9c41e3b 12 months ago

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10.7 kB

	""" Script used to clean the data. """

	import os
	import re
	from nltk import tokenize

	def clean_aochildes(lines):
	""" For aochildes, we remove the space between the punctuation mark and the final word and join together every 5 lines """
	new_lines = []
	joined = []
	for i, line in enumerate(lines):
	new_line = line[:-3] + line[-2:]
	joined.append(new_line.strip())
	if i % 5 == 0:
	new_lines.append(" ".join(joined) + "\n")
	joined = []
	return new_lines

	def clean_bnc_spoken(lines):
	""" For bnc_spoken, we lowercase """
	new_lines = []
	for line in lines:
	new_line = line.lower()
	if new_line != '\n':
	new_lines.append(new_line)
	return new_lines

	def clean_cbt(lines):
	""" For cbt, we lowercase and normalise punctuation """
	punctuation = ['.', ',', '?', '!', ':', ';', '(', ')', '[', ']', '{', '}', '"', "'", '“', '”', '—', '–']
	new_lines = []
	for line in lines:
	new_line = line.lower()
	new_line = new_line.replace(": ' ", ": \"")
	new_line = new_line.replace("''", "\"")
	new_line = new_line.replace(" '\n", "\"\n")
	new_line = new_line.replace(" ' ", "\" ")
	new_line = new_line.replace(" `` ", " \"")
	new_line = new_line.replace("` ", " \"")
	new_line = new_line.replace("`", "\"")
	new_line = new_line.replace("’", "\"")
	for punct in punctuation:
	new_line = new_line.replace(f" {punct}", punct)
	new_lines.append(new_line)
	return new_lines

	def clean_children_stories(lines):
	""" For children_stories, we lowercase """
	new_lines = []
	for line in lines:
	new_line = line.lower().strip()
	if new_line != '':
	new_lines.append(new_line + "\n")
	return new_lines

	def clean_gutenberg(lines):
	""" For gutenberg, we lowercase, remove italics and group lines into paragraphs. We also remove any lines containing '*' or 'p.' """
	# Get paragraphs
	paragraphs = []
	paragraph = ""
	for line in lines:
	# Remove italics
	tmp_line = line.lower().strip().replace('_','')
	if tmp_line == "" and paragraph != "":
	if len(paragraph.split()) > 2 and not paragraph.split()[-1][-1].isnumeric(): # Remove paragraphs with less than 3 words and those that end in a number (probably part of a bibliography)
	paragraphs.append(paragraph[:-1] + '\n')
	paragraph = ""
	else:
	paragraph += tmp_line + " "

	# Bad characters - gutenberg has a lot of figures, footnotes, chapter names etc that we want to remove
	bad_chars = ['*', 'p.', '=', '\|', '[', ']', ' ', ' ', 'v.']
	new_lines = [p.strip()+'\n' for p in paragraphs if not any([c in p for c in bad_chars]) and p != '' and p != '\n' and p[0] != '(']
	return new_lines

	def clean_open_subtitles(lines):
	""" For open_subtitles, we lowercase, remove subtitle dashes and fix the lowercase 'l' problem. We also join every 5 lines. """
	punctuation = ['.', ',', '?', '!', ':', ';', '(', ')', '[', ']', '{', '}', '"', "'", '“', '”', '—', '–', ' ', '\n']
	new_lines = []
	joined = []
	count = 0
	for line in lines:
	new_line = line.lower()
	# Skip music lines
	if '♪' in new_line or '[' in new_line or ']' in new_line or '‎' in new_line:
	continue
	if new_line[0:2] in ["- ", "– ", "— "]:
	new_line = new_line[2:]
	if new_line[0] in ["-", "–", "—"]:
	new_line = new_line[1:]
	new_line = ' ' + new_line
	for punct in punctuation:
	new_line = new_line.replace(f" l{punct}", f" i{punct}")
	new_line = new_line.replace(f" lm{punct}", f" im{punct}")
	new_line = new_line.replace(f" lf{punct}", f" if{punct}")
	new_line = new_line.replace(' lc', ' ic')
	new_line = new_line.replace(' ld', ' id')
	new_line = new_line.replace(' lj', ' i j')
	new_line = new_line.replace(' ln', ' in')
	new_line = new_line.replace(' lp', ' ip')
	new_line = new_line.replace(' lr', ' ir')
	new_line = new_line.replace(' ls', ' is')
	new_line = new_line.replace(' isd', ' lsd')
	new_line = new_line.replace(' lt', ' it')
	new_line = new_line.replace(' lt', ' it')
	new_line = new_line.replace(' lv', ' iv')
	if new_line.strip() != '':
	joined.append(new_line.strip())
	count += 1
	if count % 5 == 0:
	new_lines.append(" ".join(joined) + '\n')
	joined = []
	return new_lines

	def clean_qed(lines):
	""" For qed, we lowercase and normalise punctuation, remove words contained in parentheses,
	remove lines that are just character's names and fix the lowercase 'l' problem. We also join every 5 lines. """

	new_lines = []
	count = 0
	joined = []
	for line in lines:
	# Before lowercasing, check if the words in the line are uppercase containing lowercase 'l' instead of 'I' and fix accordingly
	words = line.split()
	for i, word in enumerate(words):
	if word.replace('l','I').isupper() and 'l' in word and word != 'I\'ll':
	words[i] = word.replace('l', 'I')
	new_line = ' '.join(words).lower()
	new_line = new_line.replace(' lc', ' ic')
	new_line = new_line.replace(' ld', ' id')
	new_line = new_line.replace(' lj', ' i j')
	new_line = new_line.replace(' ln', ' in')
	new_line = new_line.replace(' lp', ' ip')
	new_line = new_line.replace(' lr', ' ir')
	new_line = new_line.replace(' ls', ' is')
	new_line = new_line.replace(' isd', ' lsd')
	new_line = new_line.replace(' lt', ' it')
	new_line = new_line.replace(' lt', ' it')
	new_line = new_line.replace(' lv', ' iv')
	new_line = new_line.replace('&gt;', '')
	new_line = new_line.replace('&lt;i', '')
	new_line = new_line.replace('&lt;/i', '')
	new_line = new_line.replace('&gt;i', '')
	new_line = new_line.replace('&gt;/i', '')
	new_line = new_line.replace('&gt', '')
	new_line = new_line.replace('&lt', '')
	new_line = new_line.replace('&amp;', '')

	# Skip lines that are just character names, e.g. "AMY GOODMAN:"
	if len(new_line.strip()) < 1 or (len(words) <= 3 and new_line.strip()[-1] == ':'):
	continue

	# Remove subtitle dashes
	if new_line[0:2] == "- ":
	new_line = new_line[2:]
	if new_line[0] == "-":
	new_line = new_line[1:]

	# Remove substrings contained within circular or square parantheses (screen descriptions)
	pattern = r'\([^)]*\)'
	new_line = re.sub(pattern, '', new_line)
	pattern = r'\[[^)]*\]'
	new_line = re.sub(pattern, '', new_line)
	new_line = new_line.replace('"', '\'')

	# Remove strange characters
	new_line = new_line.replace('#','')
	new_line = new_line.replace('*','')

	new_line = new_line.strip()
	if new_line != "":
	joined.append(new_line)
	count += 1
	if count % 5 == 0:
	new_lines.append(" ".join(joined) + '\n')
	joined = []
	return new_lines

	def clean_simple_wikipedia(lines):
	""" For simple_wikipedia, we lowercase, remove empty lines and article names."""
	new_lines = []
	next_line_is_article_name = False
	for line in lines:
	if next_line_is_article_name:
	next_line_is_article_name = False
	continue
	if line.strip() == "":
	next_line_is_article_name = True
	continue
	if len(line.split()) > 2:
	new_lines.append(line.lower())
	return new_lines

	def clean_switchboard(lines):
	""" For switchboard, we lowercase and join every 5 lines. """
	new_lines = []
	count = 0
	joined = []
	for line in lines:
	new_line = line.lower().strip()
	joined.append(new_line)
	count += 1
	if count % 5 == 0:
	new_lines.append(" ".join(joined) + '\n')
	joined = []
	return new_lines

	def clean_wikipedia(lines):
	""" For wikipedia, we lowercase and remove empty lines and article names.
	We also remove lines that seem to be figure names or table entries. """
	new_lines = []
	for line in lines:
	new_line = line.strip()
	words = new_line.split()

	# Remove empty lines and article names
	if new_line == "":
	continue
	if new_line[0] == "=" and new_line[-1] == "=":
	continue

	# Filter out lines that seem to be figure names or table entries
	all_numeric = True
	all_uppercase = True
	for word in words:
	if not word.isnumeric():
	all_numeric = False
	if not word[0].isupper():
	all_uppercase = False
	if all_numeric or all_uppercase:
	continue

	new_lines.append(new_line.lower().strip() + '\n')
	return new_lines

	CLEAN_FUNCTIONS = {'aochildes' : clean_aochildes, 'bnc_spoken' : clean_bnc_spoken, 'cbt' : clean_cbt, 'children_stories' : clean_children_stories, 'gutenberg' : clean_gutenberg, 'open_subtitles' : clean_open_subtitles, 'qed' : clean_qed, 'simple_wikipedia' : clean_simple_wikipedia, 'switchboard' : clean_switchboard, 'wikipedia' : clean_wikipedia}
	FOLDERS = ['10M', '100M', 'dev', 'test']

	if __name__ == "__main__":

	# Read all text files from directory "BabyLM"
	all_files = []
	for folder in FOLDERS:
	for root, dirs, files in os.walk(f"original/{folder}"):
	for file in files:
	if file.endswith(".txt"):
	all_files.append(os.path.join(root, file))

	for file in all_files:
	print(file)
	with open(file, 'r') as f:
	lines = f.readlines()

	# Get the corpus name
	corpus_name = os.path.basename(file).split('.')[0]

	# Clean the data
	if CLEAN_FUNCTIONS[corpus_name] is not None:
	lines = CLEAN_FUNCTIONS[corpus_name](lines)
	# Replace multiple spaces with single space
	lines = [re.sub(' +', ' ', line) for line in lines if line.strip() != '']

	# Write the new file
	new_file = file.replace('original', 'clean')
	os.makedirs(os.path.dirname(new_file), exist_ok=True)
	with open(new_file, 'w') as f:
	# Save file name to file, so we can later recover the original file names
	f.write(new_file.split('/')[-1] + '\n')
	f.writelines(lines)